Triple
T12538356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fakenham Magna |
E299763
|
entity |
| Predicate | isLocatedInPartOfEngland |
P105785
|
FINISHED |
| Object | eastern England |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: eastern England | Statement: [Fakenham Magna, isLocatedInPartOfEngland, eastern England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInPartOfEngland Context triple: [Fakenham Magna, isLocatedInPartOfEngland, eastern England]
-
A.
locatedInBritishCountry
Indicates that one entity is geographically or administratively situated within a country that is part of the United Kingdom.
-
B.
isInInnerLondon
Indicates that one location lies within the administrative area defined as Inner London.
-
C.
hasBritishAccent
Indicates that the subject speaks with a British accent.
-
D.
hasOuterLondonBorough
Indicates that an entity is associated with, located in, or administered by a borough that is part of Outer London.
-
E.
isLocatedInPresentDayCountry
Indicates that an entity’s location is specified in terms of the modern, currently recognized country that encompasses it.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.